Introduction - If you have any usage issues, please Google them yourself
Empirical Mode Decomposition (EMD Empirical Mode Decomposition) algorithm is a Hilbert-Huang Transform (HHT) core algorithm. Empirical Mode Decomposition (EMD) algorithm is defined by algorithmic processes, rather than defined by the theoretical formula determined, so be accurate theoretical analysis very difficult, we can only by means of a large number of digital simulation test its performance continues in-depth study. Purpose EMD algorithm is the bad performance of the signal is decomposed into a set of better performance of the intrinsic mode functions (IMFIntrinsic Mode Function), and the IMF must meet the following two properties: (1) extreme point signal (maximum value or a minimum value) over the number and the number is equal to zero or at most a difference mean (2) on the envelope formed by the local maxima and the local minima of the lower envelope constitute zero.